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1,572 results for “Sedimentation”
Sedimentation rates, with features
<p>Contains sedimentation rates(labels), features, latitudes, longitudes</p> <p> </p>
Modeling Flocculation Processes of Cohesive Sediment Through Moment Methodology
<p>The data were used in the paper "Modeling Flocculation Processes of Cohesive Sediment Through Moment Methodology" which was submitted to "<em>Water Resources Research</em>". In this paper, a new mechanistic Lagrangian-type flocculation dynamic model was proposed by solving the population balance equation with moment methodology and similarity transformation, and the influence of particles' surface heterogeneities (<em>F</em><sub>2a</sub>) was incorporated. Furthermore, the roles of shear rate, sediment concentration, particle size and surface heterogeneity were investigated theoretically.</p>
Radiometric dating of sediment cores from three alpine lakes in Utah, United States, with stable isotope data
<p>We collected sediment cores from three alpine lakes in Utah, United States, to isolate dormant <em>Daphnia </em>eggs for a resurrection ecology experiment. Our question was whether radioactive fallout from above-ground nuclear weapons testing at the Nevada Test Site in the 1950s and 1960s caused increased mutation rates and population evolution in <em>Daphnia</em>. That work is ongoing. Here, we publish radioisotope dating profiles from our sediment cores.</p>
Data accompanying the paper "The electron flow in marine sediments experiencing microbial long-distance electron transport"
<p>Data accompanying the paper "The electron flow in marine sediments experiencing microbial long-distance electron transport"</p>
Magnetic and sedimentologic properties of siliciclastic cave sediments from the Muierilor Cave (Romania)
<p>Rock-magnetic and sedimentologic data of the siliciclastic sediments from the Muierii Cave (Southern Carpathians, Romania). These data were published by Mirea et al. (2021), Last deglaciation flooding events in the Southern Carpathians as revealed<br> by the study of cave deposits from Muierilor Cave, Romania, Palaeogeography, Palaeoclimatology, Palaeoecology, 562,110084 (https://doi.org/10.1016/j.palaeo.2020.110084).</p>
CoUDlabs_WP8_T812_UDC_001. Identifying sediment deposits from temperature signals
<p>This dataset contains the results of the experimental campaign and how data were collected on the research activity “Identifying sediment deposits from temperature signals” performed under Joint Research Activity “JRA 3- Improving Resilience and Sustainability in Urban Drainage solutions” of <a href="https://co-udlabs.eu">Co-UDlabs</a> project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101008626.</p> <p>The experiments introduce a new approach which uses high-resolution temperature data to identify sediment bed deposits by analysing time series. Water (wastewater or drainage water in UDS) and sediments show different thermal properties and heat transfer dynamics. Thus, the aim of the dataset is to estimate or at least evidenced the presence of sediments by analyzing the differences between the temperature timeseries measured in the water phase and at the bottom of bed deposits. Results from this experimental campaign will help to understand heat transfer processes between water and saturated sediment mixtures and, therefore, develop new methodologies to estimate accumulation in UDS.</p> <p>The data are described so that others can use them.</p>
Scanned data in support of "Paleomagnetic Stratigraphy, Rates of Deposition and Tephachronology in North Pacific Deep-Sea Sediments"
<p>Data files contain paleomagnetic data in an archival format, scanned into PDF documents. Data files contain 11 columns and include:</p> <p>Column 1) Sample identifier with cruise, core, and sample depth</p> <p>Column 2) Demagnetization field or temperature</p> <p>Column 3) Sample Magnetization</p> <p>Column 8) Declination</p> <p>Column 9) Inclination</p> <p> </p> <p>PDFs include paleomagnetic data for:</p> <p>V20-107</p> <p>V20-108</p> <p>V20-109</p> <p>V20-119</p> <p>V20-120</p> <p>V20-121</p> <p>V20-122</p> <p>V20-123</p> <p>V20-124</p> <p>V20-125</p> <p>V20-126</p> <p>V20-127</p> <p>V20-128</p> <p>V20-129</p> <p>V20-130 (missing data sheet PDF)</p> <p>V20-131</p> <p> </p>
Scanned data in support of "Paleomagnetic Study of Antarctic Deep-Sea Cores: Paleomagnetic study of sediments in a revolutionary method of dating events in Earth's History"
<p>Data files contain paleomagnetic data in an archival format, scanned into PDF documents. Data files contain 11 columns and include:</p> <p>Column 1) Sample identifier with cruise, core, and sample depth</p> <p>Column 2) Demagnetization field or temperature</p> <p>Column 3) Sample Magnetization</p> <p>Column 8) Declination</p> <p>Column 9) Inclination</p> <p> </p> <p>PDFs include paleomagnetic data for:</p> <p>V16-132</p> <p>V16-133</p> <p>V16-134</p> <p>V18-72</p> <p>V16-57</p> <p>V16-60</p> <p>V16-66</p>
Individual ostracode valve analyses (IOVA) of Sclerocypris clavularis from modern Lake Turkana sediments
<p>We provide stable carbon (δ¹³C) and oxygen (δ¹⁸O) isotope measurements in individual calcitic valves of extant ostracode species, Sclerocypris clavularis, from modern sediments in 17 sites across Lake Turkana, eastern Africa. These sediments were collected using a modified Ekman dredge during May-November, 1979. Pooled statistics of these individual ostracode valve analyses (IOVA) of δ¹³C and δ¹⁸O measurements (n = 329) at each site show strong correlations with lake hydrological parameters. Within-site variance in IOVA-δ¹³C is larger (~60%) than that of IOVA-δ¹⁸O. Yet, pooled averages exhibit a systematic pattern with higher δ values towards the southern part of the lake, away from Omo River inflow, which is the largest riverine input into Lake Turkana (comprising ~90% of overall inflows). We suggest that the latitudinal δ¹³C gradient may arise from low riverine δ¹³C and low organic matter δ¹³C as a productivity response to nutrient-rich Omo River inflow towards the north. The δ¹⁸O pattern may be explained by the diminishing influence of Omo River inflows and more evaporation driving higher IOVA-δ¹⁸O values towards the windier, southern basin. We conclude that pooled IOVA statistics in Omo-Turkana sediments can aid interpretations of past regional paleohydrology and its variability in this basin.</p>
Annual Average Suspended Sediment Concentration Composite Map (in GeoTIFF format)
<p>These Geotiff files are intended for use only during the anonymous peer-review process of the manuscript.</p> <p>For the source regions of Yangtze River, please refer to files with the prefix "CJY". As for the Qinghai-Tibet Plateau, we have only uploaded one year of data for review.</p> <p>We will upload all the Geotiff files upon acceptance of the manuscript.</p> <p>Please feel free to contact the email provided if you have any questions:<a href="mailto:jinlongli@stu.scu.edu.cn">jinlongli@stu.scu.edu.cn</a>.</p>
Fig. 8 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 8. (A, D) Globigerinoides conglobatus (Brady, 1879), sample C; (B, C) G. conglobatus, sample 22; (E, F) Globigerinoides trilobus (Reuss, 1850), sample 22; (G, H) Globigerinoides sacculifer (Brady, 1877), sample 22; (I) G. sacculifer, sample 22.
Fig. 4 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 4. (A–C) Globorotalia inflata (d'Orbigny, 1839), sample 26; (D, G) Neogloboquadrina incompta, sample 15; (E, H) N. dutertrei (d'Orbigny, 1839), sample 30; (F, I) N. dutertrei, a low trochospiral specimen with more umbilical aperture from sample 30.
Fig. 1 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 1. (a) Locality map of the study area; (b) Focused map showing the regional setting of the Thukela Shelf within the KwaZulu-Natal Bight. (After Hunter 2007)
Fig. 3 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 3. (A, D) Globorotalia cultrata (d'Orbigny, 1839), sample 25; (B, E) Globorotalia menardii (Parker, Jones & Brady, 1865), sample 30; (C, F) Globorotalia ungulata Bermúdez, 1961, sample 25; (G, H) Globorotalia tumida (Brady, 1877), sample 26; (I) Globorotalia ungulata Bermúdez, 1961, sample 30.
Fig. 9 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 9. (A, B) Globigerinoides ruber (d'Orbigny, 1839), sample 22; (C) G. ruber, sample TB34; (D, E) G. ruber (aberrant form), sample 8; (F, G) Sphaeroidinella dehiscens (Parker & Jones, 1865), sample 30; (H) Orbulina universa (d'Orbigny, 1839), sample C.
Fig. 2 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 2. Map showing the positions from which samples were collected on the Thukela Shelf. These were taken on the inner, mid and outer shelf, offshore of the Thukela River. Isobaths drawn at 5 m.
Fig. 6 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 6. (A–C) Globigerina falconensis Blow, 1959, sample 30; (D–F) Globigerina rubescens Hofker, 1956, sample 25; (G–I) Globigerinella calida (Parker, 1962), sample 4.
Fig. 5 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 5. (A, D) Pulleniatina obliquiloculata (Parker & Jones, 1865), sample 26; (B, E) Globigerinita glutinata (Egger, 1893), sample 26; (C, F) Globigerina quinqueloba Natland, 1938, sample 2; (G–I) Globigerina bulloides d'Orbigny, 1826, sample 6.
Magnetic and microscopic characteristics of greigite-bearing sediments
<p>This dataset includes rock magnetic data, demagnetization data, and energy dispersive spectra (EDS) data of greigite-bearing sediments.</p> <p> </p>
Magnetic properties of siliciclastic sediments from the Zăton Lake
<p>Magnetic properties of siliciclastic sediments from the Zăton Lake ((Mehedinţi Plateau, South Carpathians, Romania; 44.972782° N, 22.75433° E, 343 m ).: paleomagnetic directions, magnetic susceptibility measured at two frequencies, anisotropy of magnetic susceptibility.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.